Blog Post:Over 5 years ago Omniture Discover was launched and in the past five years so many wonderful, amazing, and dare I say, magical improvements have been made. On April 8 the magic continued with the release of Discover 2.9. With all the great improvements in this release we decided that it was finally time to start a blog focused on using Discover to analyze and make decisions for the improvement of your online business.
A recent Forrester research article states that, "As the economy rebounds, many companies are seeking to use a great customer experience as a way to retain customers, grow wallet share, and bring new customers on board." The first step in creating the best online user experience is to understand overall how visitors are using your site, which can be accomplished using analytics tools such as SiteCatalyst. Usually as you start to understand your visitors on a whole, questions arise about who these visitors are and how they can be grouped to provide better experiences. This is where a real-time advanced segmentation tool, such as Discover, can help.
You may be looking to optimize the user experience based on how users got to the site, what content they view, products they purchase, articles they download, how frequently they visit the site, etc. You may want to identify characteristics or behaviors that visitors have when they convert and optimize the site to encourage other visitors to follow a similar path.
The purpose of this blog is to help you with these questions. We really want to provide you with insights and examples of how you can drive actionable analytics through segmentation more quickly and effectively. All posts will fall under one of three categories:
1. Fundamentals: Introduction of things that we would consider to be fundamental, such as segmentation best practices, using metrics in the correct context, etc
2. Enhancers: Tips and tricks to enhance how you can take advantage of all the functionality in Discover
3. Analysis: Sample analysis and case studies utilizing different features of Discover to help kick start your own analysis
Because of the wealth of knowledge and experience here at Omniture we are going to tag-team the posts between three main authors. Kevin Willeitner, the Discover Product Lead within Omniture Consulting. Laura MacTaggart, Discover's biggest fan. Tim Lott, the illustrious Product Manager for Discover. This tag-team approach also allows us to regularly post articles to quench your Discover thirst.
We are very excited to share our knowledge and experience with you and we also look forward to receiving feedback or ideas from you. If there are specific topics you are anxious to see covered, you can submit them in your comments. And don't forget to add your Discover feature requests to the Omniture Idea Exchange (http://ideas.omniture.com/). This is the best way to get your ideas in the proper forum where they can be voted on and hopefully implemented in a future release.
Author:Laura MacTaggart
Date Created:May 13, 2010
Date Published:May 13, 2010
Headline:Welcome to Inside Discover
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Publisher:Adobe
Image:https://blogs.adobe.com/digitalmarketing/wp-content/uploads/no-image/no-image.jpg

Welcome to Inside Discover

Over 5 years ago Omniture Discover was launched and in the past five years so many wonderful, amazing, and dare I say, magical improvements have been made. On April 8 the magic continued with the release of Discover 2.9. With all the great improvements in this release we decided that it was finally time to start a blog focused on using Discover to analyze and make decisions for the improvement of your online business.

A recent Forrester research article states that, “As the economy rebounds, many companies are seeking to use a great customer experience as a way to retain customers, grow wallet share, and bring new customers on board.” The first step in creating the best online user experience is to understand overall how visitors are using your site, which can be accomplished using analytics tools such as SiteCatalyst. Usually as you start to understand your visitors on a whole, questions arise about who these visitors are and how they can be grouped to provide better experiences. This is where a real-time advanced segmentation tool, such as Discover, can help.

You may be looking to optimize the user experience based on how users got to the site, what content they view, products they purchase, articles they download, how frequently they visit the site, etc. You may want to identify characteristics or behaviors that visitors have when they convert and optimize the site to encourage other visitors to follow a similar path.

The purpose of this blog is to help you with these questions. We really want to provide you with insights and examples of how you can drive actionable analytics through segmentation more quickly and effectively. All posts will fall under one of three categories:
1. Fundamentals: Introduction of things that we would consider to be fundamental, such as segmentation best practices, using metrics in the correct context, etc
2. Enhancers: Tips and tricks to enhance how you can take advantage of all the functionality in Discover
3. Analysis: Sample analysis and case studies utilizing different features of Discover to help kick start your own analysis

Because of the wealth of knowledge and experience here at Omniture we are going to tag-team the posts between three main authors. Kevin Willeitner, the Discover Product Lead within Omniture Consulting. Laura MacTaggart, Discover’s biggest fan. Tim Lott, the illustrious Product Manager for Discover. This tag-team approach also allows us to regularly post articles to quench your Discover thirst.

We are very excited to share our knowledge and experience with you and we also look forward to receiving feedback or ideas from you. If there are specific topics you are anxious to see covered, you can submit them in your comments. And don’t forget to add your Discover feature requests to the Omniture Idea Exchange (http://ideas.omniture.com/). This is the best way to get your ideas in the proper forum where they can be voted on and hopefully implemented in a future release.